[Fix] stock_planning: Fix the ids problem in query

bzr revid: sbh@tinyerp.com-20100623092720-bbtrtbxcjdtg0xjo
This commit is contained in:
sbh (Open ERP) 2010-06-23 14:57:20 +05:30
parent 59f9649ba1
commit bc84ee95c6
1 changed files with 12 additions and 10 deletions

View File

@ -374,16 +374,17 @@ class stock_sale_forecast(osv.osv):
return res / val.product_id.uom_id.factor, uom.rounding
def _sales_per_users(self, cr, uid, so, so_line, company, users):
cr.execute("SELECT sum(sol.product_uom_qty) FROM sale_order_line AS sol LEFT JOIN sale_order AS s ON (s.id = sol.order_id) " \
"WHERE (sol.id IN %s) AND (s.state NOT IN (\'draft\',\'cancel\')) AND (s.id IN %s) AND (s.company_id=%s) " \
"AND (s.user_id IN %s) " %(tuple(so_line), tuple(so), company, tuple(users)))
"AND (s.user_id IN %s) " ,(tuple(so_line), tuple(so), company, tuple(users)))
ret = cr.fetchone()[0] or 0.0
return ret
def _sales_per_warehouse(self, cr, uid, so, so_line, company, shops):
cr.execute("SELECT sum(sol.product_uom_qty) FROM sale_order_line AS sol LEFT JOIN sale_order AS s ON (s.id = sol.order_id) " \
"WHERE (sol.id IN %s) AND (s.state NOT IN (\'draft\',\'cancel\')) AND (s.id IN %s)AND (s.company_id=%s) " \
"AND (s.shop_id IN %s)" %(tuple(so_line), tuple(so), company, tuple(shops)))
"AND (s.shop_id IN %s)" ,(tuple(so_line), tuple(so), company, tuple(shops)))
ret = cr.fetchone()[0] or 0.0
return ret
@ -411,8 +412,8 @@ class stock_sale_forecast(osv.osv):
dept_obj = self.pool.get('hr.department')
dept_id = obj.analyzed_dept_id.id and [obj.analyzed_dept_id.id] or []
dept_ids = dept_obj.search(cr,uid,[('parent_id','child_of',dept_id)])
dept_ids_set = ','.join(map(str,dept_ids))
cr.execute("SELECT user_id FROM hr_department_user_rel WHERE (department_id IN %s)" %(tuple(dept_ids_set),))
# dept_ids_set = ','.join(map(str,dept_ids))
cr.execute("SELECT user_id FROM hr_department_user_rel WHERE (department_id IN %s)" ,(tuple(dept_ids),))
dept_users = [x for x, in cr.fetchall()]
dept_users_set = ','.join(map(str,dept_users))
else:
@ -420,21 +421,22 @@ class stock_sale_forecast(osv.osv):
factor, round_value = self._from_default_uom_factor(cr, uid, obj, obj.product_uom.id, context=context)
for i, period in enumerate(periods):
if period:
so_period_ids = so_obj.search(cr, uid, [('date_order','>=',period.date_start), ('date_order','<=',period.date_stop)], context = context)
so_period_ids = so_obj.search(cr, uid, [('date_order','>=',period.date_start), ], context = context)
if so_period_ids:
so_period_set = ','.join(map(str,so_period_ids))
# so_period_set = ','.join(map(str,so_period_ids))
if obj.analyzed_user_id:
user_set = str(obj.analyzed_user_id.id)
sales[i][0] =self._sales_per_users(cr, uid, so_period_set, so_line_product_set, obj.company_id.id, user_set)
sales[i][0] =self._sales_per_users(cr, uid, so_period_ids, so_line_product_ids, obj.company_id.id, user_set)
sales[i][0] *=factor
if dept_users:
sales[i][1]= self._sales_per_users(cr, uid, so_period_set, so_line_product_set, obj.company_id.id, dept_users_set)
sales[i][1]= self._sales_per_users(cr, uid, so_period_ids, so_line_product_ids, obj.company_id.id, dept_users_set)
sales[i][1]*=factor
if shops:
sales[i][2]= self._sales_per_warehouse(cr, uid, so_period_set, so_line_product_set, obj.company_id.id, shops_set)
sales[i][2]= self._sales_per_warehouse(cr, uid, so_period_ids, so_line_product_ids, obj.company_id.id, shops_set)
sales[i][2]*=factor
if obj.analyze_company:
sales[i][3]= self._sales_per_company(cr, uid, so_period_set, so_line_product_set, obj.company_id.id, )
sales[i][3]= self._sales_per_company(cr, uid, so_period_ids, so_line_product_ids, obj.company_id.id, )
sales[i][3]*=factor
self.write(cr, uid, ids, {
'analyzed_period1_per_user':sales[0][0],